| タイトル | Machine learning research 1989-90 |
| 本文（外部サイト） | http://hdl.handle.net/2060/19910023512 |
| 著者（英） | Porter, Bruce W.; Souther, Arthur |
| 著者所属（英） | Research Inst. for Computing and Information Systems |
| 発行日 | 1990-06-01 |
| 言語 | eng |
| 内容記述 | Multifunctional knowledge bases offer a significant advance in artificial intelligence because they can support numerous expert tasks within a domain. As a result they amortize the costs of building a knowledge base over multiple expert systems and they reduce the brittleness of each system. Due to the inevitable size and complexity of multifunctional knowledge bases, their construction and maintenance require knowledge engineering and acquisition tools that can automatically identify interactions between new and existing knowledge. Furthermore, their use requires software for accessing those portions of the knowledge base that coherently answer questions. Considerable progress was made in developing software for building and accessing multifunctional knowledge bases. A language was developed for representing knowledge, along with software tools for editing and displaying knowledge, a machine learning program for integrating new information into existing knowledge, and a question answering system for accessing the knowledge base. |
| NASA分類 | COMPUTER PROGRAMMING AND SOFTWARE |
| レポートNO | 91N32826
NAS 1.26:188828
NASA-CR-188828 |
| 権利 | No Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/130677 |
